↓ Skip to main content

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

Overview of attention for article published in BMC Bioinformatics, December 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
5 tweeters
patent
2 patents

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages
Published in
BMC Bioinformatics, December 2012
DOI 10.1186/1471-2105-13-335
Pubmed ID
Authors

Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Steenhoff, Alain Coletta, Colin Molter, Robin Duque, Virginie de Schaetzen, David Y Weiss Solís, Hugues Bersini, Ann Nowé

Abstract

With an abundant amount of microarray gene expression data sets available through public repositories, new possibilities lie in combining multiple existing data sets. In this new context, analysis itself is no longer the problem, but retrieving and consistently integrating all this data before delivering it to the wide variety of existing analysis tools becomes the new bottleneck.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Brazil 1 <1%
South Africa 1 <1%
Italy 1 <1%
Malaysia 1 <1%
India 1 <1%
Belgium 1 <1%
Ukraine 1 <1%
Other 0 0%
Unknown 111 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 32%
Student > Ph. D. Student 29 24%
Student > Master 10 8%
Other 7 6%
Student > Bachelor 7 6%
Other 24 20%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 41%
Biochemistry, Genetics and Molecular Biology 24 20%
Computer Science 20 16%
Medicine and Dentistry 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 9 7%
Unknown 7 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 December 2018.
All research outputs
#4,928,987
of 20,419,783 outputs
Outputs from BMC Bioinformatics
#1,868
of 6,775 outputs
Outputs of similar age
#60,040
of 285,111 outputs
Outputs of similar age from BMC Bioinformatics
#94
of 367 outputs
Altmetric has tracked 20,419,783 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,775 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.